Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
With an increasing emphasis on user data control and privacy regulations, such as the General Data Protection Regulation (GDPR), machine unlearning (MU) has emerged as a crucial mechanism for managing data in AI systems. MU enables models to remove the influence of specific user data upon request. This problem becomes more complex in collaborative settings such as Federated Learning (FL), where da...
Illicit transaction detection is a key task in blockchain anti-money laundering, yet it remains challenging due to temporal graph evolution, severe class imbalance, and the difficulty of preserving informative transaction attributes during representation learning. Existing graph-based approaches have demonstrated the importance of temporal modeling on Bitcoin transaction networks, but their perfor...
BACKGROUND AND OBJECTIVE: Artificial Intelligence (AI) is seen as a potential solution to alleviate workforce demands arising from growing use of magn...
Piezoionic sensors perceive the physical world based on polymer ionogels with advantages of flexibility, lightweight, and high sensitivity, and are su...
BACKGROUND: Acquiring medical expertise from the vast body of medical text is a critical component of medical education. However, the majority of medi...
BACKGROUND: Postoperative flap monitoring is critical for early detection and salvage of compromised flaps. As shorter hospital stays and outpatient p...
The newly constructed renewable energy-oriented virtual power plants (VPPs) suffer from a scarcity of operation data for renewable energy and the unce...
CONTEXT: The elucidation of molecular structures and properties typically relies on the integration of multiple spectroscopic techniques, which provid...
Ultrasound Computed Tomography (USCT) represents a paradigm shift in medical imaging, offering quantitative, high-resolution tissue characterization f...
BACKGROUND: Erectile dysfunction (ED) is strongly influenced by persistent misconceptions that delay help-seeking and limit engagement with effective ...
BACKGROUND: Eligibility criteria are essential to clinical trial design, guiding recruitment, and ensuring patient safety and scientific rigor. Howeve...
Amid the global shift toward clean-label and sustainable food production, this review highlights green, non-thermal physical modification (NTPM) techn...
Magnetically controlled soft microrobots, by virtue of their exceptional flexibility and noninvasiveness, exhibit immense potential in the field of mi...
Learning to adapt voluntary movements to an external perturbation, whether mechanical or visual, is faster during a second encounter than during the f...
Metastatic lymph nodes (LNs) represent a major barrier to effective drug delivery in cancer therapy. To address this challenge, a lymphatic drug deliv...
BACKGROUND: Effective communication about clinical trials is essential, as low enrollment undermines scientific validity and contributes to health car...
BACKGROUND AND AIMS: Atherosclerosis results from cellular and extracellular changes in the arterial wall, preceded by molecular shifts that initiate ...
The twin green-digital transition (TGD) is a key pathway for firms to enhance resource efficiency, reduce pollution, and strengthen green competitiven...
BACKGROUND: As artificial intelligence (AI) has evolved through a series of discrete leaps, the Foundation model (FM) has demonstrated substantial pot...
Drug-resistant epilepsy (DRE) affects approximately 30% of epilepsy patients, with surgical cure rates below 70%. This challenge drives a fundamental ...